Systems | Development | Analytics | API | Testing

Our reflections on the 2021 Gartner Magic Quadrant for Data Quality Solutions

Success for any business starts with data that is easily discoverable, understandable, and of value to the people who need it. We call this type of data “healthy data.” You should look at a wide set of measures and metrics to determine whether data is healthy or not, but at the core of all healthy data is a high level of quality.

Four Pillars of an Agile Data Infrastructure

Forbes Insights defines the modernized data center as being built to change just as much as it is built to last. One of the key pillars for a modernized data center is an agile data infrastructure. The Forbes Insights briefing explains, “This means it’s not wedded to any specific deployment method or solution set.

Closing the Gap Between Data and Action - All in One Cloud

A favorite moment of mine is when I get to share Qlik’s vision for Active Intelligence with a customer for the first time. It usually goes like this: genuine excitement about the possibility – taking informed action in the moment from real-time data…invariably followed by many questions – where do I begin? What do I need? What about the tech stack I have already acquired?

Qlik Sense Enterprise SaaS - Impact Analysis

Brief overview and demo of the Impact Analysis capability available in Qlik Sense. Do you understand the origins and journey of your data sets? Do you trust where the data comes from? Are your responsible for migrations, understanding business changes and handling regulatory compliance? If so watch this video to learn more about Qlik’s latest addition to Qlik Sense Enterprise SaaS - Impact Analysis.

Migrate to CDP Private Cloud Base - A Step by Step Guide

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. In the video below we walk through a complete end to end upgrade of CDH to CDP Private Cloud Base.

Future of Data Meetup: CDP on Azure - Industrial Strength Data Engineering

Data Engineering is undergoing a huge evolution requiring faster and more reliable data pipelines. Apache Spark and Python are core foundational components of this new architecture enabling data engineers to quickly develop these pipelines. They also introduce challenges when moving to production. Come join us as we: Ask questions and learn. We will also have a raffle of Cloudera swag.

Serving the Public Through Data

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience.